{"id":"W4312833559","doi":"10.1080/00085030.2022.2145792","title":"Correction","year":2022,"lang":"en","type":"article","venue":"Canadian Society of Forensic Science Journal","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005872775,0.00006485086,0.00008639018,0.000129563,0.001530305,0.0004988907,0.0008692281,0.00001453363,0.00006978883],"category_scores_gemma":[0.00003780058,0.00005345795,0.0001320085,0.001269645,0.0003522559,0.001782575,0.0001487166,0.0002400903,0.000002795384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006412393,"about_ca_system_score_gemma":0.001976217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00737357,"about_ca_topic_score_gemma":0.002267706,"domain_scores_codex":[0.9986972,0.00001079806,0.0001561735,0.000160965,0.0005972793,0.0003776272],"domain_scores_gemma":[0.9989137,0.00001609941,0.0001181433,0.0001800592,0.0001981917,0.0005737803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001624051,0.00002368811,0.0005347462,0.000002266876,0.00001361938,0.00003592057,0.009241732,0.001197769,0.003465506,0.01476733,0.8296211,0.1410947],"study_design_scores_gemma":[0.001380951,0.001603466,0.04776762,0.00008160176,0.0000240754,0.02288183,0.01846184,0.2009492,0.04569211,0.05738043,0.6024368,0.001340162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7289609,0.0007903942,0.02505472,0.01766531,0.02612309,0.0003478398,0.00002579991,0.000127724,0.2009042],"genre_scores_gemma":[0.9846712,0.000008971673,0.01120618,0.002483571,0.00008722051,0.000001123863,5.663217e-7,0.000002993759,0.001538194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2557102,"threshold_uncertainty_score":0.9997696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07597074651954192,"score_gpt":0.264811855011283,"score_spread":0.1888411084917411,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}